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Visualization and Semantic Labeling of Mood States Based on Time-Series Features of Eye Gaze and Facial Expressions by Unsupervised Learning
This study is intended to develop a stress measurement and visualization system for stress management in terms of simplicity and reliability. We present a classification and visualization method of mood states based on unsupervised machine learning (ML) algorithms. Our proposed method attempts to ex...
Autores principales: | Madokoro, Hirokazu, Nix, Stephanie, Sato, Kazuhito |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9408575/ https://www.ncbi.nlm.nih.gov/pubmed/36011150 http://dx.doi.org/10.3390/healthcare10081493 |
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